Comments for Structural Equation Modeling Blog

Comment on lavaan – a user-friendly SEM package for R by rabil

rabil — Wed, 04 Aug 2010 14:20:16 +0000

I had the pleasure of meeting Yves at the recent useR! 2010 conference. I hadn’t heard of lavaan until the conference and I’m looking forward to trying it. I’m using OpenMx but it was pointed out to me that OpenMx is not completely open as the optimization is closed source. (At least that is my understanding – please correct me if I’m wrong.) I’m applying SEM to relatively simple measurement error models in methods comparison studies where researchers have “hard” data. (It’s surprising just how “soft” data from complex instruments can be!) What I need from a SEM package is the ability to compute functions of the model parameters and corresponding confidence intervals. Mx can do this (but is really tedious to use and the matrix naming is extremely limited). OpenMx either has this now or will soon (I’ve had problems with this feature using OpenMx but it may have to do with the relatively small sample sizes I encounter.) I hope these features will eventually be included in lavaan (along with the ability to handle dichotomous and ordinal data).

Comment on lavaan – a user-friendly SEM package for R by Jens Vogelgesang

Jens Vogelgesang — Fri, 28 May 2010 12:02:15 +0000

Yeah, I totally agree with Michael! Now the question is, how long will it take to implement WLSMV?

Comment on OpenMx – advanced structural equation modeling in R by Structural Equation Modeling Blog » lavaan – a user-friendly SEM package for R

Fri, 28 May 2010 11:55:26 +0000

[...] when we pondered about an Mplus-style interface for SEM packages in R? Turns out that Yves Rosseel not only had the same idea, but did actually implement such a package [...]

Comment on Sheffield: Two one-day courses on SEM using Mplus by ixodcom

ixodcom — Wed, 21 Oct 2009 08:09:20 +0000

Thank you for sharing this information about SEM using Mplus

Comment on PLS-Workshop: Path Modeling using SmartPLS by manjula

manjula — Mon, 10 Aug 2009 05:27:42 +0000

Please send me the material on basics and how to perform pls with smartpls with an example

Comment on Sensitivity of fit indices by Michael Scharkow

Michael Scharkow — Thu, 27 Mar 2008 20:26:36 +0000

At the risk of spoiling the fun: The key finding in this paper is that out of the 5234126 fit indices available in the notorious software, only RMSEA and Gamma seem to be indifferent to all kinds of undesired condititions, like sample size and model complexity. Since Gamma is not easily available in AMOS or MPlus, the winner is … RMSEA which has been my favorite all along